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Expose llms-txt to IDEs for development
| Date | Stars |
|---|---|
| 2026-07-31 | 1020 |
| 2026-08-02 | 1020 |
| 2026-08-03 | 1020 |
| 2026-08-05 | 1022 |
| 2026-08-06 | 1023 |
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# MCP LLMS-TXT Documentation Server
## Overview
[llms.txt](https://llmstxt.org/) is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use `llms.txt` to retrieve context for tasks. However, these apps use different built-in tools to read and process files like `llms.txt`. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.
[MCP](https://github.com/modelcontextprotocol) offers a way for developers to have *full control* over tools used by these applications. Here, we create [an open source MCP server](https://github.com/modelcontextprotocol) to provide MCP host applications (e.g., Cursor, Windsurf, Claude Code/Desktop) with (1) a user-defined list of `llms.txt` files and (2) a simple `fetch_docs` tool read URLs within any of the provided `llms.txt` files. This allows the user to audit each tool call as well as the context returned.
<img src="https://github.com/user-attachments/assets/736f8f55-833d-4200-b833-5fca01a09e1b" width="60%">
## llms-txt
You can find llms.txt files for langgraph and langchain here:
| Library | llms.txt |
|------------------|------------------------------------------------------------------------------------------------------------|
| LangGraph Python | [https://langchain-ai.github.io/langgraph/llms.txt](https://langchain-ai.github.io/langgraph/llms.txt) |
| LangGraph JS | [https://langchain-ai.github.io/langgraphjs/llms.txt](https://langchain-ai.github.io/langgraphjs/llms.txt) |
| LangChain Python | [https://python.langchain.com/llms.txt](https://python.langchain.com/llms.txt) |
| LangChain JS | [https://js.langchain.com/llms.txt](https://js.langchain.com/llms.txt) |
## Quickstart
#### Install uv
* Please see [official uv docs](https://docs.astral.sh/uv/getting-started/installation/#installation-methods) for other ways to install `uv`.
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
#### Choose an `llms.txt` file to use.
* For example, [here's](https://langchain-ai.github.io/langgraph/llms.txt) the LangGraph `llms.txt` file.
> **Note: Security and Domain Access Control**
>
> For security reasons, mcpdoc implements strict domain access controls:
>
> 1. **Remote llms.txt files**: When you specify a remote llms.txt URL (e.g., `https://langchain-ai.github.io/langgraph/llms.txt`), mcpdoc automatically adds only that specific domain (`langchain-ai.github.io`) to the allowed domains list. This means the tool can only fetch documentation from URLs on that domain.
>
> 2. **Local llms.txt files**: When using a local file, NO domains are automatically added to the allowed list. You MUST explicitly specify which domains to allow using the `--allowed-domains` parameter.
>
> 3. **Adding additional domains**: To allow fetching from domains beyond those automatically included:
> - Use `--allowed-domains domain1.com domain2.com` to add specific domains
> - Use `--allowed-domains '*'` to allow all domains (use with caution)
>
> This security measure prevents unauthorized access to domains not explicitly approved by the user, ensuring that documentation can only be retrieved from trusted sources.
#### (Optional) Test the MCP server locally with your `llms.txt` file(s) of choice:
```bash
uvx --from mcpdoc mcpdoc \
--urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt" "LangChain:https://python.langchain.com/llms.txt" \
--transport sse \
--port 8082 \
--host localhost
```
* This should run at: http://localhost:8082
* Run [MCP inspector](https://modelcontextprotocol.io/docExcerpt of 13,087 characters
Read on GitHub
Eugene Yurtsev · @langchain-ai · United States
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Lance Martin
10
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Vadym Barda · United States
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John Kennedy · @langchain-ai
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0498b9b62aa116c9, topic:agents